KR20240024424A - Personal custom healthcare system that utilizes personal health and medical data - Google Patents

Abstract

On the corporate side, it has effects such as preventing apprehension and presenteeism, improving work efficiency and productivity, raising corporate image, and increasing the work efficiency of health managers. On the hospital side, it has effects such as efficient monitoring of patient health status, reduction of hospital congestion and labor costs, and hospital promotion. /It has effects such as securing customers through marketing, and provides customized health management benefits for company executives and employees.

Description

Personal custom healthcare system that utilizes personal health and medical data}

The present invention relates to a personalized healthcare system using personal health data and medical data.

In general, the state in which humans are physically, mentally, and socially healthy is called wellness, and this wellness can be realized through proper food intake and exercise.

Therefore, individuals who wish to realize wellness need to accurately understand their current health status, continue to consume appropriate food and exercise to maintain and improve their body and health status, and accurately prevent the occurrence of disease. There is a need for diagnosis.

However, it is difficult for an individual to continuously and accurately determine his or her current health status, continue to consume appropriate food and exercise to maintain and improve his or her body and health status, and accurately diagnose the occurrence of a disease. Various methods for realizing wellness have been proposed, and related inventions include "Health management system and method using mobile terminal" in Korean Patent Publication No. 10-2006-0037123 and Korean Patent Publication No. 10-2009- “Patient-tailored health management system and method” in No. 0003748, “Smart health management information service method and computer program for executing the method” in Korean Patent Publication No. 10-2016-0145244, and Korean Patent Publication No. 10-2017- No. 0131067, “Method and device for providing integrated health care services,” has been proposed and made public.

In the Korean Patent Publication No. 10-2006-0037123, “Health management system and method using a mobile terminal,” the blood flow and oxygen amount measured periodically can be directly checked through the mobile terminal, so that the person is aware of the current health status. The invention relates to a system and method that allows users to receive health care services regardless of time and place by inquiring about their health status at a medical institution and receiving a response to the inquiry in real time in a chat format. It was proposed that “patient-tailored health care system and method” in Korean Patent Publication No. 10-2009-0003748 uses an advanced inference engine to provide health care services most appropriate for the situations of medical consumers and providers in a ubiquitous environment. An invention is proposed regarding a system and method that enables medical consumers to achieve the effect of active disease management and medical service providers to efficiently and actively manage patients by providing a built-in mobile healthcare system. It has been done.

In addition, the "Smart health management information service method and computer program for executing the method" in Korean Patent Publication No. 10-2016-0145244 includes nursing, food nutrition, and physical education for older age groups such as the elderly using mobile devices, etc. An invention regarding a service method and program that can provide quality health care information using integrated or convergence information has been proposed, and is referred to as “Integrated health care service provision method and device” in Republic of Korea Patent Publication No. 10-2017-0131067. Users can directly select a service provider for each service item, and data on the user's exercise program compliance status and diet program compliance status is generated and provided based on the information provided by the service providers, thereby increasing user convenience. An invention relating to a method and apparatus has been proposed. However, the above-described conventional inventions recognized or managed the user's condition by dichotomizing it into a health condition and a disease condition, so there was a problem in that it was not possible to recognize and manage in advance a condition in which there was a significant possibility of disease occurrence or a condition in which health was gradually deteriorating, and health Since there has been a demand for detailed exercise methods and diets to improve muscle mass, there is a need for an invention that provides a solution.

Republic of Korea Patent Publication No. 10-2006-0037123 (2006 05 03) Republic of Korea Patent Publication No. 10-2009-0003748 (2009 01 12) Republic of Korea Patent Publication No. 10-2016-0145244 (2016 December 20) Republic of Korea Patent Publication No. 10-2017-0131067 (2017 Nov 29)

The purpose of the present invention is to provide a highly reliable customized healthcare system based on an individual's lifestyle habits and health examination results. However, the purpose of the present invention is not limited to the purposes mentioned above, and other purposes not mentioned are as follows. It will be clearly understandable to those skilled in the art from the description.

The object of the present invention as described above is a healthcare system consisting of a user terminal 10, a main server 20, a hospital server 30, a corporate server 40, and a credit card company server 50, and connected to a network, The user terminal 10 provides health information including the user's blood pressure, blood sugar, weight, body temperature, moisture, and medication information, activity information including the number of steps, heart rate, sleep pattern, exercise, and eating habits information, and age and height. Personal information consisting of physical information including body weight and body fat, physical strength information including grip strength, and disease information including genetic test results, family history, and chronic diseases is collected and transmitted to the main server 20, and the main server (20) collects and analyzes the personal information and medical information of the hospital server 30 that matches the personal information, and sends the analysis results and mission information corresponding to the analysis results to the user terminal 10 and the corporate server ( 40), the hospital server 30 collects the medical information of the user holding the user terminal 10, and sends a checkup reservation and checkup results to the user terminal 10 through the main server 20. The corporate server 40 receives the personal information, medical information, examination results, and mission information, and provides reward information when the mission is accomplished according to the mission information, and penalty information when the mission is not accomplished to the user terminal 10. The card company server 50 transmits the payment information of the user terminal 10 to the main server 20, and the main server 20 determines the user's location and the time spent at the location. From the terminal 10, the examination results are collected from the hospital server 30, the schedule is collected from the corporate server 40, and the payment information is collected from the card company server 50. The user's location, time spent at the location, and examination results are collected. , By analyzing payment information, information on eating habits is derived, and there is no signal response from the acceleration sensor, gyro sensor, proximity sensor, fingerprint recognition sensor, RGB sensor, hall sensor, motion sensor, and geomagnetic sensor of the user terminal 10, and the location changes. If it is not detected and the surroundings are sensed to be dark through the illumination sensor of the user terminal 10, sleep begins, and the acceleration sensor, gyro sensor, proximity sensor, fingerprint recognition sensor, RGB sensor, hall sensor, and motion sensor If there is a signal response from any one of the sensor and the geomagnetic sensor, a change in location is detected, and the surroundings are sensed as being bright through the illuminance sensor, it is determined that sleep has been completed and a sleep pattern is derived, and the main server 20 Personal information and medical information are analyzed to classify the user's health status into overweight, normal weight, and underweight. Overweight, normal weight, and underweight are further classified into high activity, low activity, and inactivity groups, respectively. The result is derived, and the overweight and inactive group grade is achieved by a personalized healthcare system characterized by providing mission information and checkup reservation information to the user terminal 10.

According to the present invention, on the corporate side, there are effects such as preventing apprehension and presenteeism, improving work efficiency and productivity, improving corporate image, and increasing work efficiency of health managers.

On the hospital side, there are effects such as efficient patient health status monitoring, reduction of hospital congestion and labor costs, and customer acquisition through hospital promotion/marketing.

From the perspective of corporate executives and employees, there are benefits such as customized health management benefits, reduced medical expenses, easy hospital reservation and management, and realization of medical welfare optimized for health status.

In terms of public healthcare, there are expected effects such as reducing the incidence of chronic diseases, efficient management of patients with chronic diseases, and reducing public healthcare expenditures.

The effects of the present invention are not limited to the above effects, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a schematic diagram of a personalized healthcare system according to the present invention;
2 to 5 are diagrams showing the operational relationship of the personalized healthcare system according to the present invention.

The present invention can be modified in various ways and can have various embodiments, and specific embodiments will be illustrated in the drawings and described in detail below. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various forms.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. When describing with reference to the drawings, identical or corresponding components will be assigned the same reference numerals and redundant description thereof will be omitted. . Additionally, even in the case of known technology, detailed descriptions may be omitted.

Referring to Figure 1, the personalized healthcare system according to the present invention includes a user terminal 10, a main server 20, and a hospital server 30, and further includes a corporate server 40 and a credit card company server 50. These configurations can be connected to a known network and enable two-way communication.

The user terminal 10 includes a personal information collection function including the user's health information and activity information.

The hospital server 30 includes a medical information collection function.

The main server 20 stores and analyzes personal information including the user's health information and activity information, and medical information matching such personal information, that is, the user's medical information, and sends the analysis results to the user terminal 10 and the hospital. Transmitted to the server 30. It can also be transmitted to the corporate server 40.

The user's health information and activity information are closely related to lifestyle habits, and the health information may include blood pressure, blood sugar, weight, body temperature, moisture, and medication information. Activity information may include number of steps, heart rate, sleep patterns, exercise, and eating habits. Personal information may include physical information about age, height, weight, body fat, physical strength information about grip strength, genetic test results, family history, disease information about chronic diseases, etc.

The blood pressure, blood sugar, weight, body temperature, moisture, and medication information can be collected through input by the user into the user terminal. Or, while the user terminal is connected to a known device that checks blood pressure, blood sugar, body temperature, moisture, and medication (e.g., smart scale, smart thermometer, smart blood sugar meter, smart device (Galaxy Watch), body composition analyzer (Inbody), etc.) Health information can be collected by being automatically entered into the user terminal simply by the user's checking action. Alternatively, it can be collected by a method that combines a direct input method through the user terminal 10 and an automatic input method through linkage with the above-mentioned known devices. Alternatively, it may be included in the medical information already stored in the hospital server 30 and collected on the user terminal 10 through the main server 20.

Personal information such as age, height, weight, body fat, grip strength, chronic disease, etc. can be collected through input by the user into the user terminal. Alternatively, it may be included in the medical information already stored in the hospital server 30 and collected on the user terminal 10 through the main server 20.

The step count, heart rate, sleep pattern, exercise, and eating habits information are collected from acceleration sensors, gyro sensors, proximity sensors, RGB sensors, illuminance sensors, hall sensors, motion sensors, temperature/humidity sensors, barometers, geomagnetic sensors, etc. provided in the user terminal. It can be collected through heart rate sensor, fingerprint sensor, GPS, and camera.

For example, the number of steps and exercise can be collected by measuring the location change of the user terminal 10 by GPS and WiFi, the movement speed and direction by an acceleration sensor and a gyro sensor, and the calories consumed can be inferred. Collection is also possible.

For heart rate, it uses a heart rate sensor, and for sleep patterns, it uses acceleration sensor, gyro sensor, proximity sensor, RGB sensor, illuminance sensor, hall sensor, motion sensor, geomagnetic sensor, heart rate sensor, fingerprint recognition sensor, and GPS characteristics. Sleep state can be inferred by comprehensively considering signals. For example, in the evening, there is no signal response from the acceleration sensor, gyro sensor, proximity sensor, fingerprint recognition sensor, RGB sensor, hall sensor, motion sensor, and geomagnetic sensor, no change in location is detected, and the surrounding is dark through the illuminance sensor. When the state is sensed, it is judged to be starting to sleep, and if it is morning time and there is a signal response from any one of the acceleration sensor, gyro sensor, proximity sensor, fingerprint recognition sensor, RGB sensor, hall sensor, motion sensor, and geomagnetic sensor, When a change in location is detected and the surroundings are sensed to be bright through the illuminance sensor, it can be inferred that the person has finished sleeping.

This configuration is based on the fact that an active user always carries or uses the user terminal 10 (e.g., a smartphone), so it is obvious that the user's sleep time is different from the exact user's sleep time. The significance is that it can be used as additional information for diagnosing the user's health status by estimating the user's sleep time.

In the case of eating habits, by securing video data that is a food image captured with a camera mounted on or detachable from the user terminal 10 and includes images before and after a meal, an expert can reduce errors in the user's food intake.

Referring to Figure 2, the main server 20 can classify the user's health status by level by analyzing personal information and medical information including health information and activity information. And at a certain point in time or at a certain level or higher, a vaccination reservation, a checkup reservation, or a medical treatment reservation is made through the hospital server 30 and provided to the user terminal 10.

Here, for example, a relatively simple three-grade classification system such as overweight, normal weight, and underweight can be adopted. And as a detailed grade, there may be a classification system for overweight, such as a high-risk group and a low-risk group for developing a disease. Alternatively, there may be a classification system such as high blood pressure risk group, low blood pressure risk group, diabetes, and hyperlipidemia. Alternatively, there may be a classification system such as high activity group, low activity group, and inactivity group.

A specific point in time may be a time of vaccination or a health checkup, and a specific point or higher may be a level belonging to the inactivity group among the above-mentioned overweight.

Meanwhile, as another embodiment, referring to FIG. 3, the main server 20 may provide mission information to the user terminal 10 based on the examination results and personal information received from the hospital server 30.

Mission information may, for example, be a well-being diet, stress management, exercise, etc., and may be presented in a customized manner by comprehensively reviewing examination results and personal information. As an example of mission information, if the user's examination result is determined to be hyperlipidemia, a wellness diet and aerobic exercise method that can improve hyperlipidemia can be suggested and recommended.

As another embodiment, referring to Figure 4, the main server 20 may provide an expert counseling service to the user terminal 10 based on the examination results and personal information received from the hospital server 30. Expertise includes counseling, diet, exercise, and consultation with medical professionals.

As another embodiment, referring to Figure 5, the personalized healthcare system receives personal information, medical information, examination results, and mission information from the main server 20, and reminds reward and penalty information according to whether or not the mission is achieved. It may further include a corporate server 40 provided to the user terminal 10.

Additionally, the main server 20 may share or provide monitoring and management functions for personal information, medical information, examination results, and mission information with the enterprise server 40.

This personalized healthcare system allows users to attempt language understanding, intention analysis, response generation, and conversation processing through questions and answers, and information extraction, knowledge inference, situation recognition, and situation prediction through knowledge accumulation analysis and learning. It is usable and enables the development of disease prediction solutions through collected data.

By using a recurrent neural network learning algorithm that is most suitable for data in which events occur repeatedly, it can be used to develop a disease prediction engine.

As a customized health management platform, it provides advanced health management that reflects the individual's current condition, enables early prevention of adult diseases, and can be used to determine whether to proceed with additional tests, assist in diagnosis and prescription, recommend health supplements, and deliver health foods. It can be used for the same daily convenience services.

In addition, the personalized healthcare system prevents disease outbreaks in advance through regular monitoring and status reporting, allowing users to accurately check their health status and continuously manage it.

In addition, you can receive real-time consultation and information inquiry 24 hours a day through your smartphone, revitalize the community by sharing disease treatment reviews and experiences, and build a health management database (analyzing similar data → predicting the probability of disease occurrence).

In addition, by adopting an efficient consultation system through an AI chatbot system and introducing various medical services (vaccination, genetic testing, etc.) and hospital treatment reservations, a convenient healthcare supplementary service system can be established.

Meanwhile, when the personalized healthcare system targets companies and their employees, the main server 20 can collect personal health data from executives and employees. In addition, health management guides and management functions can be provided to companies, personalized health management (additional services provided) can be provided to company executives and employees, and employee members can make comprehensive checkups/treatment reservations at hospitals.

In the case of the corporate server 40, rewards and penalties according to health management achievements can be provided to the user terminals 10 used by executives and employees, and the health of executives and employees can be maintained using the health management guide and management function received from the main server 20. It can be managed, and through this, productivity and efficiency can be increased from executives and employees.

In the case of the hospital server (30), customized medical treatment based on personal information can be provided to executives and employees, and in the case of the user terminal (10) used by executives and employees, they can receive personalized health care (provided additional services), and the corporate server (40) You can receive rewards and penalties based on your health management achievements.

The personalized healthcare system can infer eating habits in the following ways without the user's conscious actions or input.

It consists of a user terminal (10), a main server (20), a hospital server (30), a corporate server (40), and a credit card company server (50). The main server (20) records the user's location and the time spent at that location. From the user terminal 10, the comprehensive examination results are collected from the hospital server 30, the schedule is collected from the corporate server 40, and payment information is collected from the card company server 50, the user's location, and the time spent at the location. , eating habits can be inferred by analyzing comprehensive examination results and payment information. For example, if the user's location according to WiFi is a Chinese restaurant, and the payment information provided by the card company server 50 is black bean noodles and the frequency of the information is high, it can be determined that the user has eating habits that prefer fatty foods. Additionally, if hyperlipidemia is found among the results of a comprehensive examination by the hospital server (30), the judgment that fatty foods are preferred can be supported.

If the menu cannot be confirmed in the payment information by the credit card company server 50, the menu eaten by the user can be inferred through a comparison of price information and menu price information, which is transmitted through the user terminal 10 and the main server 20. It can be collected from .

In addition, eating habits patterns can be inferred by analyzing the user's schedule from the corporate server 40, location information from the user terminal 10, sleep patterns, and payment information from the credit card company server 50. For example, according to the schedule, working hours are 9:00 to 18:00, it takes 1 hour to get to work due to the distance between home and work, and even though it is 7:30 in the morning, the acceleration sensor, gyro sensor, proximity sensor, fingerprint recognition sensor, RGB sensor, There is no signal response from the hall sensor, motion sensor, or geomagnetic sensor, no change in location is detected, no sound matching the sound of eating or drinking is generated through the microphone, and the surroundings are sensed as dark through the illuminance sensor, and going to work is not possible. If payment information is consistently not collected at convenience stores and restaurants on time, it can be inferred that skipping breakfast is a habitual pattern.

On the other hand, according to the schedule, working hours are 9:00 to 18:00, and due to the distance between home and work, it takes 1 hour to get to work, and before 7:30 in the morning, the acceleration sensor, gyro sensor, proximity sensor, fingerprint recognition sensor, RGB sensor, There is a signal response from any one of the hall sensor, motion sensor, or geomagnetic sensor, a change in location is detected, a sound matching the sound of food being eaten is generated through the microphone, and the surroundings are sensed as being bright through the illuminance sensor. If continuously identified, it can be inferred that eating breakfast is a habitual pattern.

The eating habits pattern can be inferred when all determined values for all components are satisfied, one of them is satisfied, or two or more are satisfied.

The system or device described above may be implemented with hardware components, software components, and/or a combination of hardware components and software components. For example, the systems, devices, and components described in embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor,

One or more general-purpose or special-purpose computers, such as a signal processor, microcomputer, field programmable array (FPA), programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. It can be implemented using . A processing device may execute an operating system (OS) and one or more software applications that run on the operating system. Additionally, a processing device may access, store, manipulate, process, and generate data in response to the execution of software. For ease of understanding, a single processing device may be described as being used; however, those skilled in the art will understand that a processing device includes multiple processing elements and/or multiple types of processing elements. It can be seen that it may include. For example, a processing device may include a plurality of processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are possible.

Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing unit to operate as desired, or may be processed independently or collectively. You can command the device. Software and/or data may be used by any type of machine, component, physical device, virtual equipment, computer storage medium or device to be interpreted by or to provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

Methods according to embodiments may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiment or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CDROMs and DVDs, and magneto-optical media such as floptical disks. Includes magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited examples and drawings, various modifications and variations can be made by those skilled in the art from the above description. For example, the described techniques are performed in a different order than the described method, and/or components of the described system, structure, device, circuit, etc. are combined or combined in a different form than the described method, or other components are used. Alternatively, appropriate results may be achieved even if substituted or substituted by an equivalent.

Therefore, other implementations, other embodiments, and equivalents of the claims also fall within the scope of the claims described below.

10: User terminal
20: Main server
30: Hospital server
40: Corporate server
50: Card company server
70: network

Claims (1)

In a healthcare system consisting of a user terminal (10), a main server (20), a hospital server (30), a corporate server (40), and a credit card company server (50) and connected to a network,
The user terminal 10 provides health information including the user's blood pressure, blood sugar, weight, body temperature, moisture, and medication information, activity information including the number of steps, heart rate, sleep pattern, exercise, and eating habits information, and age and height. , body information including weight and body fat,
Personal information consisting of physical strength information including grip strength, genetic test results, family history, and disease information including chronic diseases is collected and transmitted to the main server 20,
The main server 20 collects and analyzes the personal information and the medical information of the hospital server 30 that matches the personal information, and sends the analysis results and mission information corresponding to the analysis results to the user terminal 10 and the company. transmit to the server 40,
The hospital server 30 collects medical information of users holding the user terminal 10, and provides examination reservations and examination results to the user terminal 10 through the main server 20,
The corporate server 40 receives the personal information, medical information, examination results, and mission information, and transmits reward information when the mission is accomplished according to the mission information and penalty information when the mission is not accomplished, to the user terminal 10. do,
The card company server 50 transmits the payment information of the user terminal 10 to the main server 20,
The main server 20,
The user's location and the time spent at the location are collected from the user terminal 10, the examination results are collected from the hospital server 30, the schedule is collected from the corporate server 40, and payment information is collected from the card company server 50, and the user Location and when staying at said location
By analyzing the liver, examination results, and payment information, information on eating habits is derived,
There is no signal response from the acceleration sensor, gyro sensor, proximity sensor, fingerprint recognition sensor, RGB sensor, hall sensor, motion sensor, and geomagnetic sensor of the user terminal 10, no change in position is detected, and the illuminance of the user terminal 10 When the sensor senses that the surroundings are dark, sleep begins.
When there is a signal response from any one of the acceleration sensor, gyro sensor, proximity sensor, fingerprint recognition sensor, RGB sensor, hall sensor, motion sensor, and geomagnetic sensor, a change in position is detected, and the surrounding area is bright through the illuminance sensor. Once sensed, it is determined that sleep has been completed and a sleep pattern is derived.
The main server 20 analyzes personal information and medical information and classifies the user's health status into overweight, normal weight, and underweight. Overweight, normal weight, and underweight are classified into high activity group, low activity group, and inactivity group, respectively. A personalized healthcare system that derives analysis results by further classifying them into grades, and provides mission information and checkup reservation information to the user terminal (10) for the overweight and inactive group grades.